A predictive model for fall risk in hospitalized adults: A case-control study

2018 ◽  
Vol 75 (3) ◽  
pp. 563-572 ◽  
Author(s):  
Isis M. Severo ◽  
Ricardo Kuchenbecker ◽  
Débora F. V. B. Vieira ◽  
Luciana R. C. Pinto ◽  
Michele E. W. Hervé ◽  
...  
Keyword(s):  
Predictive Model ◽  
Fall Risk ◽  
Case Control Study ◽  
Case Control ◽  
Control Study

Medications and fall risk: a case–control study in nursing home residents in Japan

2019 ◽  
Vol 32 (5) ◽  
pp. 885-892 ◽  
Author(s):  
Hyerim Park ◽  
Hiroki Satoh ◽  
Akiko Miki ◽  
Hideyuki Maki ◽  
Kohei Asai ◽  
...  
Keyword(s):  
Nursing Home ◽  
Fall Risk ◽  
Case Control Study ◽  
Nursing Home Residents ◽  
Case Control ◽  
Control Study

scholarly journals Relationship between falls and Fall Risk Increasing Drugs. A retrospective case control study

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
N Tiwana ◽  
A Pietronigro ◽  
M Mosillo ◽  
N Principi ◽  
D Carnevali ◽  
...  
Keyword(s):  
Risk Factors ◽  
Fall Risk ◽  
Case Control Study ◽  
Holistic Approach ◽  
Case Control ◽  
Assessment Tools ◽  
Screening Tools ◽  
Risk Of Falling ◽  
Retrospective Case ◽  
Control Study

Abstract Background Falls and fall-related injuries are a major public health issue which needs global attention due to its clinical and socioeconomic impact. Inpatient falls are the most common adverse event in hospital. Important risk factors for falls are polypharmacy and the assumption of so-called Fall Risk Increasing Drugs (FRIDs). Aims of our study were to investigate the associations between falls and the use of medications among inpatients by conducting a retrospective case-control study in a rehabilitation hospital in Northern Italy in 2018. Methods Three unique control for each faller, matched by age, sex and hospitalization ward, were selected. A Conditional Logistic Regression was performed to analyze the impact that 13 types of FRIDs individually and the number of administrated FRIDs had on the risk of falling. A second regression model was obtained adjusting the case-control matching for CIRS, Morse and Barthel scores. Results We identified 148 cases and 444 controls. 3 types of FRIDs were significantly correlated (p < 0,05) with an increased risk of falling: Antipsychotics [OR:1,98;CI 95%:1,01-3,89], Antidepressants [OR:2,18;CI 95%:1,32-3,59], Diuretics [OR:1,71;CI 95%:1,09-2,68]. Antidepressants were the only type of FRID significantly correlated (p = 0,008) even in the model adjusted for CIRS, Morse and Barthel scores [OR:2,00;CI 95%:1,20-3,34]. The unadjusted model showed that the addition of one type of FRID to therapy was significantly associated with the fall event (p < 0.05) [OR:1.21;CI 95%: 1.05 - 1.40]. Conclusions Assumption of drugs and polypharmacy could play a role in hospital falling. Recently developed fall risk assessment tools suffer from low specificity and sensitivity and do not assess these risk factors. A holistic approach with a multidimensional evaluation of the patient through screening tools, functional assessment tools and a full medical evaluation should be improved. Key messages Drugs may represent an important variable in determining the risk of falls in hospitalized patients, but they should not be considered alone. Screening tools for fall risk should take into account polypharmacy such as other intrinsic and extrinsic risk factors within an holistic approach.

Fall-risk-increasing adverse reactions—is there value in easily accessible drug information? A case-control study

2019 ◽  
Vol 75 (6) ◽  
pp. 849-857
Author(s):  
Susanne Schiek ◽  
Katja Hildebrandt ◽  
Olaf Zube ◽  
Thilo Bertsche
Keyword(s):  
Fall Risk ◽  
Adverse Reactions ◽  
Case Control Study ◽  
Drug Information ◽  
Case Control ◽  
Control Study

scholarly journals Staffing and Patient-related Factors Affecting in-patient Fall-related Injury in a Psychiatric Hospital: A 5-year Retrospective Matched Case-control Study

2020 ◽  
Author(s):  
Acharaporn Seeherunwong ◽  
Chanya Thunyadee ◽  
Wipa Vanichakit ◽  
Pavinee thanabodeethumacharee
Keyword(s):  
Risk Factors ◽  
Fall Risk ◽  
Case Control Study ◽  
Case Control ◽  
Medical Illness ◽  
Related Factors ◽  
Increased Risk ◽  
Matched Case ◽  
Matched Case Control Study ◽  
Control Study

Abstract Background: Incidence of fall-related injury of psychiatric in-patients was more frequent and the severity greater than in general units. Also, the risk factors were different and more complicated. The aim of this study was to investigate the staffing factors and patient-related factors that increase the likelihood of fall-related injury among psychiatric in-patients. Methods: A five-year retrospective matched case-control study was used to select cases of in-patient fall which were reported to the hospital risk management system. The total sample consisted of 240 patients. Conditional logistic regression was used to analyze the data. Results: Of the eighty fall-related injuries, 86.3% resulted in temporary harm and required intervention. The multivariate model showed that the three strongest predictors were having an acute psychotic condition (adjusted matched odds ratio (aOR)=5.40; 95%CI 4.22-6.90; p< 0.001), proportion of nurse staffing equal to nurse assistants (aOR=5.52; 95%CI 2.64-11.55; p<0.001), and taking atypical antipsychotic drug (aOR=3.92; 95%CI 3.22-4.76; p<0.001). In addition, the following factors all increased the risk of fall-related injury significantly: using more than four drugs, having a medical illness, having comorbid psychiatric disorder, taking lithium, anti-Parkinson, benzodiazepine, and anti-convulsant drugs. Regarding staffing factors, patient numbers in the unit of 25-50, and ≥ 51, also significantly increased risk for fall than having patient numbers of 25 or fewer. Nurse to patient ratios of 1:16-30, and 1: 31-45 significantly increased the fall risk compared to ratios of 1: 1-15. Conclusions: The risk factors found are expected to be of use for assessing fall risk and managing staff workload in psychiatric units.

scholarly journals Fall predictors beyond fall risk assessment tool items for acute hospitalized older adults: a matched case–control study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hye-Mi Noh ◽  
Hong Ji Song ◽  
Yong Soon Park ◽  
Junhee Han ◽  
Yong Kyun Roh
Keyword(s):  
Older Adults ◽  
Risk Assessment ◽  
Fall Risk ◽  
Case Control Study ◽  
Case Control ◽  
Clinical Factors ◽  
Fall Risk Assessment ◽  
Laboratory Results ◽  
Hospitalized Older Adults ◽  
Control Study

AbstractWe investigated whether clinical factors including comorbidities, medications, and laboratory results predict inpatient fall risk in older adults. The participants in this case–control study included hospitalized older adults with acute conditions who had falls during their hospital stay (case group) and 410 hospitalized older adults who did not experience falls (control group). Data on medical history, fall risk assessment (Morse Fall Scale; MFS), medications, and laboratory results were obtained. Conditional logistic regression analysis was performed to estimate the association between clinical factors and falls. Receiver operating characteristic curves and area under the curve (AUC) were used to determine whether clinical factors could discriminate between fallers and controls. We evaluated three models: (M1) MFS, (M2) M1 plus age, sex, ward, and polypharmacy, and (M3) M2 plus clinical factors. Patients with diabetes mellitus or MFS scores ≥ 45 had the highest risk of falls. Calcium channel blockers, diuretics, anticonvulsants, and benzodiazepines were associated with high fall risk. The AUC of the three models was 0.615, 0.646, and 0.725, respectively (M1 vs. M2, P = 0.042 and M2 vs. M3, P < .001). Examining clinical factors led to significant improvements in fall prediction beyond that of the MFS in hospitalized older adults.

Beyond fall risk assessment: A case-control study in an Urban Medical Center

2018 ◽  
Vol 27 (21-22) ◽  
pp. 3894-3899
Author(s):  
Scott Domingue ◽  
Skip Morelock ◽  
Judith Walsh ◽  
Patricia Newcomb ◽  
Christine Russe ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Fall Risk ◽  
Case Control Study ◽  
Medical Center ◽  
Case Control ◽  
Fall Risk Assessment ◽  
Control Study
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